What data does CultureFlow use? ⌄
CultureFlow reads from a cultural knowledge graph built on the Integrated Values Surveys (the World Values Survey and European Values Study), the ISSP Work Orientations module, the GLOBE study, Hofstede’s dimensions as a comparison layer, the Akaliyski individualism-collectivism index, and a corpus of peer-reviewed cross-cultural research, covering 100+ countries.
How is CultureFlow different from Hofstede? ⌄
Hofstede’s dimensions were derived from IBM employee surveys in the 1960s and 1970s and describe countries. CultureFlow’s dimensions are built from recent, nationally representative values surveys, and they describe a person: your Cultural Signature combines your country with your generation, gender, seniority, experience, and industry. Hofstede remains in our graph as a comparison layer.
Is CultureFlow’s research peer-reviewed? ⌄
Yes. The surveys are the most cited datasets in cross-cultural social science, the frameworks are published in peer-reviewed journals, and no dimension is presented as fact unless backed by at least two peer-reviewed sources.
Does CultureFlow use AI? ⌄
Yes, and deliberately in one place. A language model writes each briefing, but the graph decides what is true: the model is given the two Signatures, the relationships between them, and the research, and it records which sources it used. Research-backed, not AI guesswork.
Who are CultureFlow’s scientific advisors? ⌄
Dr Plamen Akaliyski, Professor Vivian Vignoles, Professor Christian Welzel, and Professor Michael Minkov.